GSA FAS - ITS - CMS Document Analysis - MRAS

The government is issuing a Request for Information (RFI) for a Hi-Def / ITVMO Document Pilot. The purpose of this RFI is to gather information for market research to inform future requirements and contract efforts. The pilot effort aims to consolidate and perform analytics on procurement-related files, publicly available documents, and other relevant documents. Currently, acquisition data and documents are stored in a decentralized manner across the Federal enterprise, making it difficult for relevant parties to search and examine agreements for opportunities to leverage economies of scale, relevant clauses, terms and conditions, and pricing.

The Office of Federal Procurement Policy, in partnership with the GSA Federal Acquisition Service and the GSA IT Vendor Management Office (ITVMO), plans to procure analytic capabilities that enable contracting officers to search and analyze relevant contract files in PDF or Word documents stored in the FAS Enterprise Data Environment (FAS EDA) and publicly available files and data stored in government websites. The requirement falls under the North American Classification System (NAICS) code 541511 - Custom Computer Programming Services.

Interested organizations with the capability and availability to perform the requirement are invited to submit a response. The desired capabilities include parsing and structure analysis of PDF files, text extraction using OCR technology, data extraction and pattern recognition, organizing extracted data into relevant fields and structured formats, semantic search using language models, optical character recognition (OCR) for legacy image-based PDF files, retrieval augmented generation with large language models, and the ability to adapt applications to a government cloud service provider (CSP).

The timeframe of the acquisition is not specified in the provided information. The place of performance/delivery is also not explicitly mentioned but is expected to involve accessing and analyzing data stored in the FAS Enterprise Data Environment (FAS EDA) as well as publicly available files and data stored in government websites.